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Numerical Built-In Method for the Nonlinear JRC/JCS Model in Rock Joint
The joint surface is widely distributed in the rock, thus leading to the nonlinear characteristics of rock mass strength and limiting the effectiveness of the linear model in reflecting characteristics. The JRC/JCS model is the nonlinear failure criterion and generally believed to describe the chara...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3944205/ https://www.ncbi.nlm.nih.gov/pubmed/24693245 http://dx.doi.org/10.1155/2014/735497 |
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author | Liu, Qunyi Xing, Wanli Li, Ying |
author_facet | Liu, Qunyi Xing, Wanli Li, Ying |
author_sort | Liu, Qunyi |
collection | PubMed |
description | The joint surface is widely distributed in the rock, thus leading to the nonlinear characteristics of rock mass strength and limiting the effectiveness of the linear model in reflecting characteristics. The JRC/JCS model is the nonlinear failure criterion and generally believed to describe the characteristics of joints better than other models. In order to develop the numerical program for JRC/JCS model, this paper established the relationship between the parameters of the JRC/JCS and Mohr-Coulomb models. Thereafter, the numerical implement method and implementation process of the JRC/JCS model were discussed and the reliability of the numerical method was verified by the shear tests of jointed rock mass. Finally, the effect of the JRC/JCS model parameters on the shear strength of the joint was analyzed. |
format | Online Article Text |
id | pubmed-3944205 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-39442052014-04-01 Numerical Built-In Method for the Nonlinear JRC/JCS Model in Rock Joint Liu, Qunyi Xing, Wanli Li, Ying ScientificWorldJournal Research Article The joint surface is widely distributed in the rock, thus leading to the nonlinear characteristics of rock mass strength and limiting the effectiveness of the linear model in reflecting characteristics. The JRC/JCS model is the nonlinear failure criterion and generally believed to describe the characteristics of joints better than other models. In order to develop the numerical program for JRC/JCS model, this paper established the relationship between the parameters of the JRC/JCS and Mohr-Coulomb models. Thereafter, the numerical implement method and implementation process of the JRC/JCS model were discussed and the reliability of the numerical method was verified by the shear tests of jointed rock mass. Finally, the effect of the JRC/JCS model parameters on the shear strength of the joint was analyzed. Hindawi Publishing Corporation 2014-02-11 /pmc/articles/PMC3944205/ /pubmed/24693245 http://dx.doi.org/10.1155/2014/735497 Text en Copyright © 2014 Qunyi Liu et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Liu, Qunyi Xing, Wanli Li, Ying Numerical Built-In Method for the Nonlinear JRC/JCS Model in Rock Joint |
title | Numerical Built-In Method for the Nonlinear JRC/JCS Model in Rock Joint |
title_full | Numerical Built-In Method for the Nonlinear JRC/JCS Model in Rock Joint |
title_fullStr | Numerical Built-In Method for the Nonlinear JRC/JCS Model in Rock Joint |
title_full_unstemmed | Numerical Built-In Method for the Nonlinear JRC/JCS Model in Rock Joint |
title_short | Numerical Built-In Method for the Nonlinear JRC/JCS Model in Rock Joint |
title_sort | numerical built-in method for the nonlinear jrc/jcs model in rock joint |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3944205/ https://www.ncbi.nlm.nih.gov/pubmed/24693245 http://dx.doi.org/10.1155/2014/735497 |
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